Upload 3 files

app.py

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+import streamlit as st
+from tensorflow.keras.models import load_model
+from PIL import Image
+import numpy as np
+
+model=load_model('dog_cat_model.h5')
+
+def process_image(img):
+    img=img.resize((100,100))  #boyutunu 100*1000 pixel yaptık
+    img=np.array(img)
+    img=img/255.0  #Normalize ettik
+    img=np.expand_dims(img,axis=0)
+    return img
+
+st.title('DOGS vs CATS REDUX')
+st.write("Choose a picture and guess whether it's a cat or a dog")
+
+file=st.file_uploader('Choose a picture', type=['jpg','jpeg','png'])
+
+if file is not None:
+    img=Image.open(file)
+    st.image(img,caption='uploaded image')
+    image=process_image(img)
+    prediction=model.predict(image)
+    predicted_class=np.argmax(prediction)
+
+    class_names=['cat','dog']
+    st.write(class_names[predicted_class])

dog_cat_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:38f910163d3a2e3f4335231fbd09ffb81be82e1a5b43363781656990050a88c4
+size 52413440

requirements.txt

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+streamlit 
+tensorflow